@inproceedings{594b97f1c9f84cd59f3a65e2ac1ddd3d,
title = "Multiple pedestrian detection and tracking based on weighted temporal texture features",
abstract = "This paper presents a novel method for detecting and tracking pedestrians from video images taken by a fixed camera. A pedestrian may be totally or partially occluded in a scene for some period of time. The proposed approach uses the appearance model for the identification of pedestrians and the weighted temporal texture features. We compared the proposed method with other related methods using color and shape features, and analyzed the features' stability. Experimental results with various real video data revealed that real time pedestrian detection and tracking is possible with increased stability over 5-15% even under occasional occlusions in video surveillance applications.",
author = "Yang, {Hee Deok} and Lee, {Seong Whan}",
year = "2004",
doi = "10.1109/ICPR.2004.1333750",
language = "English",
isbn = "0769521282",
series = "Proceedings - International Conference on Pattern Recognition",
pages = "248--251",
editor = "J. Kittler and M. Petrou and M. Nixon",
booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",
note = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",
}